Institution
Charles Darwin University
Education•Darwin, Northern Territory, Australia•
About: Charles Darwin University is a education organization based out in Darwin, Northern Territory, Australia. It is known for research contribution in the topics: Population & Indigenous. The organization has 2303 authors who have published 7230 publications receiving 198151 citations. The organization is also known as: CDU.
Papers published on a yearly basis
Papers
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Macquarie University1, University of Minnesota2, Stanford University3, Simón Bolívar University4, Wageningen University and Research Centre5, Smithsonian Environmental Research Center6, University of Alaska Fairbanks7, VU University Amsterdam8, University of Zurich9, Centre national de la recherche scientifique10, Curtin University11, Tohoku University12, University of Wisconsin–Eau Claire13, Landcare Research14, University of Concepción15, University of Cape Town16, University of Tartu17, Polish Academy of Sciences18, University of Tokyo19, Utrecht University20, University of Western Australia21, Charles Darwin University22, Ural State University23, University of Toronto24, Texas A&M University25, University of Córdoba (Spain)26
TL;DR: Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
Abstract: Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first time at global scale, a universal spectrum of leaf economics consisting of key chemical, structural and physiological properties. The spectrum runs from quick to slow return on investments of nutrients and dry mass in leaves, and operates largely independently of growth form, plant functional type or biome. Categories along the spectrum would, in general, describe leaf economic variation at the global scale better than plant functional types, because functional types overlap substantially in their leaf traits. Overall, modulation of leaf traits and trait relationships by climate is surprisingly modest, although some striking and significant patterns can be seen. Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
6,360 citations
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TL;DR: Estimates of extinction risk for most species are more severe than previously recognised and conservation actions which only target single-threat drivers risk being inadequate because of the cascading effects caused by unmanaged synergies.
Abstract: If habitat destruction or overexploitation of populations is severe, species loss can occur directly and abruptly. Yet the final descent to extinction is often driven by synergistic processes (amplifying feedbacks) that can be disconnected from the original cause of decline. We review recent observational, experimental and meta-analytic work which together show that owing to interacting and self-reinforcing processes, estimates of extinction risk for most species are more severe than previously recognised. As such, conservation actions which only target single-threat drivers risk being inadequate because of the cascading effects caused by unmanaged synergies. Future work should focus on how climate change will interact with and accelerate ongoing threats to biodiversity, such as habitat degradation, overexploitation and invasive species.
1,661 citations
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Simon Fraser University1, Newbury College2, Virginia Institute of Marine Science3, Natural Environment Research Council4, Charles Darwin University5, National Marine Fisheries Service6, National Institute of Water and Atmospheric Research7, International Union for Conservation of Nature and Natural Resources8, James Cook University9, Florida Museum of Natural History10, Old Dominion University11, Moss Landing Marine Laboratories12, Australian Institute of Marine Science13, Conservation International14, Commonwealth Scientific and Industrial Research Organisation15
TL;DR: In this article, the authors present the first systematic analysis of threat for a globally distributed lineage of 1,041 chondrichthyan fishes (sharks, rays, and chimaeras).
Abstract: The rapid expansion of human activities threatens ocean-wide biodiversity. Numerous marine animal populations have declined, yet it remains unclear whether these trends are symptomatic of a chronic accumulation of global marine extinction risk. We present the first systematic analysis of threat for a globally distributed lineage of 1,041 chondrichthyan fishes—sharks, rays, and chimaeras. We estimate that one-quarter are threatened according to IUCN Red List criteria due to overfishing (targeted and incidental). Large-bodied, shallow-water species are at greatest risk and five out of the seven most threatened families are rays. Overall chondrichthyan extinction risk is substantially higher than for most other vertebrates, and only one-third of species are considered safe. Population depletion has occurred throughout the world's ice-free waters, but is particularly prevalent in the Indo-Pacific Biodiversity Triangle and Mediterranean Sea. Improved management of fisheries and trade is urgently needed to avoid extinctions and promote population recovery.
1,467 citations
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Edith Cowan University1, University of Queensland2, Utah State University3, Deakin University4, Autonomous University of Barcelona5, Charles Darwin University6, Commonwealth Scientific and Industrial Research Organisation7, Sao Paulo State University8, University of Western Australia9, Griffith University10, Southern Cross University11, University of New South Wales12, University of Wollongong13, Department of Water14, The Chinese University of Hong Kong15, Spanish National Research Council16, University of Tasmania17, University of Technology, Sydney18, National University of Malaysia19, Hasanuddin University20, University of Costa Rica21, Woods Hole Research Center22, King Abdullah University of Science and Technology23
TL;DR: This assessment, the most comprehensive for any nation to-date, demonstrates the potential of conservation and restoration of VCE to underpin national policy development for reducing greenhouse gas emissions.
Abstract: Policies aiming to preserve vegetated coastal ecosystems (VCE; tidal marshes, mangroves and seagrasses) to mitigate greenhouse gas emissions require national assessments of blue carbon resources. Here, we present organic carbon (C) storage in VCE across Australian climate regions and estimate potential annual CO2 emission benefits of VCE conservation and restoration. Australia contributes 5–11% of the C stored in VCE globally (70–185 Tg C in aboveground biomass, and 1,055–1,540 Tg C in the upper 1 m of soils). Potential CO2 emissions from current VCE losses are estimated at 2.1–3.1 Tg CO2-e yr-1, increasing annual CO2 emissions from land use change in Australia by 12–21%. This assessment, the most comprehensive for any nation to-date, demonstrates the potential of conservation and restoration of VCE to underpin national policy development for reducing greenhouse gas emissions. Policies aiming to preserve vegetated coastal ecosystems (VCE) to mitigate greenhouse gas emissions require national assessments of blue carbon resources. Here the authors assessed organic carbon storage in VCE across Australian and the potential annual CO2 emission benefits of VCE conservation and find that Australia contributes substantially the carbon stored in VCE globally.
1,462 citations
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TL;DR: It is proposed that species distribution modellers should get involved in real decision-making processes that will benefit from their technical input and have the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
Abstract: Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of 'translators' between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
1,390 citations
Authors
Showing all 2360 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jeremy M. Grimshaw | 123 | 691 | 115126 |
William S. Lane | 113 | 246 | 55543 |
Brian G. Spratt | 97 | 242 | 44179 |
Robert L. Pressey | 86 | 282 | 30738 |
Bart J. Currie | 86 | 662 | 29494 |
John J McNeil | 82 | 592 | 30524 |
Christopher J. White | 77 | 621 | 25767 |
Ric N. Price | 76 | 330 | 21580 |
Jonathan R. Carapetis | 76 | 384 | 75777 |
Nicholas M. Anstey | 74 | 344 | 20213 |
Corey J. A. Bradshaw | 74 | 345 | 22491 |
Tao Wang | 73 | 418 | 17635 |
David M. Purdie | 72 | 209 | 16284 |
Anne B. Chang | 71 | 609 | 17779 |
David M. J. S. Bowman | 70 | 396 | 21976 |